Instructions to use aieng-lab/codet5p-220m_comment-type-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use aieng-lab/codet5p-220m_comment-type-python with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="aieng-lab/codet5p-220m_comment-type-python")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codet5p-220m_comment-type-python") model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codet5p-220m_comment-type-python") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d67594e6aad883bccb0e86d03e7b734851b9b43f66ec6de2806285972c646551
- Size of remote file:
- 447 MB
- SHA256:
- 91a293b626b7d3d67b3529efb94a6c0fc87739ce256f83cc4c7a3f5cceda831f
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